Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Error Correction Coding: Mathematical Methods and Algorithms
Error Correction Coding: Mathematical Methods and Algorithms
Adaptive eigenvalue decomposition algorithm for real time acoustic source localization system
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
A least squares component normalization approach to blind channel identification
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 04
A least-squares approach to blind channel identification
IEEE Transactions on Signal Processing
Subspace methods for the blind identification of multichannel FIRfilters
IEEE Transactions on Signal Processing
Fast maximum likelihood for blind identification of multiple FIRchannels
IEEE Transactions on Signal Processing
Adaptive blind channel estimation by least squares smoothing
IEEE Transactions on Signal Processing
Global convergence of a blind multichannel identification algorithm
Signal Processing
Identification of acoustic MIMO systems: challenges and opportunities
Signal Processing
EURASIP Journal on Applied Signal Processing
Time delay estimation in room acoustic environments: an overview
EURASIP Journal on Applied Signal Processing
Estimation of basis frequencies for time-varying SIMO channels: a second-order method
IEEE Transactions on Signal Processing
Blind single channel identification based on signal intermittency and second-order statistics
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
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The problem of identifying a single-input multiple-output FIR system without a training signal, the so-called blind system identification, is addressed and two multi-channel adaptive approaches, least mean square and Newton algorithms, are proposed. In contrast to the existing batch blind channel identification schemes, the proposed algorithms construct an error signal based on the cross relations between different channels in a novel, systematic way. The corresponding cost (error) function is easy to manipulate and facilitates the use of adaptive filtering methods for an efficient blind channel identification scheme. It is theoretically shown and empirically demonstrated by numerical studies that the proposed algorithms converge in the mean to the desired channel impulse responses for an identifiable system.